Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE |
2024-05-11 13:55 |
Toyama |
|
Effects of Vibration Compensation for Head-Up Display on EEG during Car Driving Hikaru Kato (Niigata Univ), Masaki Katagiri, Tadashige Makino, Toshio Ito (NS), Atsuhiko Iijima, Junichi Hori (Niigata Univ) MBE2024-2 |
The information provided by a HUD (head up display), a device that displays instrumentation information as an imaginary ... [more] |
MBE2024-2 pp.7-9 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 10:10 |
Okinawa |
(Primary: On-site, Secondary: Online) |
EEG during music recall: Time-frequency analysis, event-related potential, and directed connectivity Mayu Goto, Ingon Chanpornpakdi, Kazuki Matsunaga, Shuma Ito, Toshihisa Tanaka (TUAT) EA2023-112 SIP2023-159 SP2023-94 |
Humans not only listen to music but can also recall music in their minds.It is known that electroencephalogram (EEG) pow... [more] |
EA2023-112 SIP2023-159 SP2023-94 pp.300-305 |
SIP, SP, EA, IPSJ-SLP [detail] |
2024-03-01 16:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
Synthesizing perceived melody from stereo electroencephalogram Yuta Inaba, Yuiko Kumagai, Naoki Yoshimura, Shuji Komeiji (Tokyo Univ. Agri.&Tech.), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Toshihisa Tanaka (Tokyo Univ. Agri.&Tech.) EA2023-129 SIP2023-176 SP2023-111 |
Estimating perceived music from intracranial electroencephalogram measured with implanted electrodes is challenging. In ... [more] |
EA2023-129 SIP2023-176 SP2023-111 pp.400-405 |
ICTSSL, CAS |
2024-01-26 14:15 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
[Invited Talk]
On increasing options for realizing brain-computer interface
-- Auditory BCI and beyond -- Shin'ichiro Kanoh (Shibaura Institute of Tech.) CAS2023-104 ICTSSL2023-57 |
Brain-computer interface (BCI), a technology for detecting user intentions from brain activity measured by non-invasive ... [more] |
CAS2023-104 ICTSSL2023-57 pp.106-109 |
HIP |
2023-12-21 11:00 |
Miyagi |
Research Institute of Electrical Communication |
Natural finger-tapping tempo reflects intrinsic neurophysiological characteristics
-- Neural correlates of natural tempo -- Sai Sun (Tohoku Univ.), Daw-An Wu, Mohammad Shehata (Caltech), Takuya Akashi, Morimichi Furudate (Iwate Univ.), Chao Zhang (Fukui Univ.), Ken-Ichiro Tsutsui, Satoshi Shioiri (Tohoku Univ.), Shinsuke Shimojo (Caltech) HIP2023-77 |
Individuals often have a natural rhythm or speed in their motor activities, such as walking and talking. What remains la... [more] |
HIP2023-77 pp.5-12 |
NC, NLP |
2023-01-28 15:55 |
Hokkaido |
Future University Hakodate (Primary: On-site, Secondary: Online) |
Effects of positive mood change on the music preference and the music preference-related EEG Erina Abe, Kiyohisa Natsume (Kyutech) NLP2022-92 NC2022-76 |
Today, many people suffer from stress disorders and dementia, and one of the treatments is music therapy. Music therapy ... [more] |
NLP2022-92 NC2022-76 pp.58-63 |
IPSJ-SLDM, RECONF, VLD [detail] |
2023-01-24 10:55 |
Kanagawa |
Raiosha, Hiyoshi Campus, Keio University (Primary: On-site, Secondary: Online) |
Study on Wireless Transmission Data Reduction Method and Its Implementation in Emotion Recognition System Using Electroencephalogram Yuuki Harada, Daisuke Kanemoto, Tetsuya Hirose (Osaka Univ.) VLD2022-66 RECONF2022-89 |
Recently, there has been a great deal of research on emotion recognition and its application using electroencephalogram.... [more] |
VLD2022-66 RECONF2022-89 pp.40-44 |
MBE, MICT, IEE-MBE [detail] |
2023-01-17 14:05 |
Saga |
|
Removal of an artifact by transcutaneous auricular vagus nerve stimulation from electroencephalogram using automatic detection and modeling of the artifact Ilham Rais, Tomohiko Igasaki (Kumamoto Univ.) MICT2022-50 MBE2022-50 |
Transcutaneous auricular vagus nerve stimulation (taVNS) is a non-invasive form of stimulation that has potential therap... [more] |
MICT2022-50 MBE2022-50 pp.31-35 |
MBE, MICT, IEE-MBE [detail] |
2023-01-17 14:30 |
Saga |
|
Improving EOG components removal from EEG signals using independent component analysis, band power, and Pearson correlation coefficient Baijun Song, Aoi Takahi, Tomohiko Igasaki (Kumamoto Univ.) MICT2022-51 MBE2022-51 |
Eye movements are an important source of electroencephalogram (EEG) artifacts. Independent component analysis (ICA) is c... [more] |
MICT2022-51 MBE2022-51 pp.36-39 |
MBE, IEE-MBE |
2022-06-17 13:55 |
Online |
Online |
Development of Brain Machine Interface using EEG when recalling visual images Wataru Murata, Junichi Hori (NU) MBE2022-7 |
To assist the communication of motor-impaired, brain-machine interface (BMI) has been developed in recent years. In this... [more] |
MBE2022-7 pp.2-4 |
MBE |
2022-05-13 15:25 |
Online |
Online |
An examination of cortical dipole imaging using EEG data measured by the international 10-20 system Yudai Iyama, Junichi Hori (Niigata Univ.) MBE2022-5 |
As a method of imaging the activity of the brain using EEG, the equivalent dipole layer imaging has been developed to vi... [more] |
MBE2022-5 pp.18-21 |
MBE, NC (Joint) |
2022-03-04 14:20 |
Online |
Online |
Investigation of machine learning methods for emotion discrimination by using phase synchronization of electroencephalogram Fumiya Hirooka, Jiro Okuda (Kyoto Sangyo Univ. Grad. Sch.) NC2021-74 |
This study investigated machine learning methods for emotion discrimination by using phase synchronization of electroenc... [more] |
NC2021-74 pp.143-148 |
MBE, NC (Joint) |
2022-03-04 10:45 |
Online |
Online |
Study on fluctuation of electroencephalogram and acceleration plethysmogram during and overall chronic mental fatigue by silent reading task Takumi Hirashita, Arao Funase, Ichi Takumi (NIT) MBE2021-103 |
Recently, the increase in the number of patients with mental disorders and the decrease in work efficiency by chronic me... [more] |
MBE2021-103 pp.58-61 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-02 15:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Suppression of alpha power in the prediction of familiar melodies Shuma Ito, Toshihisa Tanaka (TUAT) EA2021-91 SIP2021-118 SP2021-76 |
There is a relationship between melody recognition and language processing in the human brain.
For language memory, it... [more] |
EA2021-91 SIP2021-118 SP2021-76 pp.171-176 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-02 15:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Detection of individual beats from EEG during rhythm imagination Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2021-92 SIP2021-119 SP2021-77 |
Rhythm is one element of music and is composed of several beats. It has been reported that evenly spaced beats and imagi... [more] |
EA2021-92 SIP2021-119 SP2021-77 pp.177-182 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-02 15:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Effective Features for Detecting Abnormal Braking from Electroencephalogram and Electrocardiogram during Automatic Driving Erika Sekiguchi, Toshihisa Tanaka (TUAT), Ken Kubota (JATCO Engineering), Shun Nakamura (CorLab), Kenichi Makita (JATCO) EA2021-94 SIP2021-121 SP2021-79 |
Although automated driving technology is advancing rapidly, the main objective of the development is to ensure safety. H... [more] |
EA2021-94 SIP2021-121 SP2021-79 pp.189-194 |
EA, SIP, SP, IPSJ-SLP [detail] |
2022-03-02 15:35 |
Okinawa |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Epileptic Seizure Detection Using Active Learning with Riemannian Manifold Toshiki Orihara, Toshihisa Tanaka (TUAT) EA2021-96 SIP2021-123 SP2021-81 |
In order to realize machine learning for diagnosis, it is necessary to solve the problem that the training model is not ... [more] |
EA2021-96 SIP2021-123 SP2021-81 pp.201-206 |
HCGSYMPO (2nd) |
2021-12-15 - 2021-12-17 |
Online |
Online |
EEG-based Emotion Prediction for Emotion Induction using Music Kana Miyamoto, Hiroki Tanaka, Satoshi Nakamura (NAIST/RIKEN) |
There are situations where we need to induce emotions in our daily life. Music is one of stimuli that can change emotion... [more] |
|
SRW, SeMI, CNR (Joint) |
2021-11-26 15:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Signal-Completion-Based Pre-Training Scheme for EEG with Various Number of Electrodes Yuma Tsurugasaki, Akihito Taya, Yoshito Tobe (Aoyama Gakuin Univ.) SRW2021-50 SeMI2021-49 CNR2021-24 |
Machine learning using electroencephalographs (EEG) data can be used to infer various human states such as emotions and ... [more] |
SRW2021-50 SeMI2021-49 CNR2021-24 pp.79-81(SRW), pp.66-68(SeMI), pp.56-58(CNR) |
MBE, NC (Joint) |
2021-10-28 14:20 |
Online |
Online |
A Study on Affective BCI Using Reservoir Computing and Fractal Analysis Yuuma Matsuda, Masahiro Nakagawa (NUT) MBE2021-22 |
Today, the Brain Computer Interface (BCI) using EEG for quantification of sensitivity have been studying, and the deep l... [more] |
MBE2021-22 pp.26-31 |